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To assess a community's risk of extreme weather, policymakers rely first on global climate models that can be run decades, and even centuries, forward in time, but only at a coarse resolution.
MIT researchers developed a method to improve predictions from large-scale climate models. When paired with smaller-scale models to predict specific weather events such as tropical cyclones or floods, the approach produced more accurate predictions for how often specific locations will experience those events over the next few decades.